synthetic_proteomicData

<p>Synthetic RNA-seq data after log2 normalisation</p>

datasets

Performs multi-omic differential network
analysis by revealing differential interactions between molecular entities
(genes, proteins, transcription factors, or other biomolecules) across the
omic datasets provided.
For each omic dataset, a differential network is constructed where
links represent statistically significant differential interactions between
entities. These networks are then integrated into a comprehensive visualization
using distinct colors to distinguish interactions from different omic layers.
This unified display allows interactive exploration of cross-omic
patterns, such as differential interactions present at both transcript and
protein levels. For each link, users can access differential statistical
significance metrics (p values or adjusted p values, calculated via robust or
traditional linear regression with interaction term) and differential regression
plots.
The methods implemented in this package are described in Sciacca et al. (2023)
<doi:10.1093/bioinformatics/btad192>.

Elisabetta Sciacca

multiDEGGs

Multi-Omic Differentially Expressed Gene-Gene Pairs

Myles Lewis

synthetic_proteomicData function

<p>A data frame with xx rows (proteins) xx columns (patients IDs).</p>

synthetic_proteomicData: Synthetic RNA-seq count data

Description

Arguments

Format